Robotics Autonomy Engineer for Real-World Bots

OpenMind

San Francisco (CA)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

OpenMind in San Francisco is seeking an experienced robotics software engineer to own core autonomy capabilities across perception, SLAM, navigation and manipulation. You will bring up new hardware platforms from unboxing to deployment-ready, and ship software that runs on real robots in customer environments.

You should have hands-on experience with ROS2, Python/C++, and embedded compute platforms (e.g., NVIDIA Jetson).

Qualifications

Hands-on depth in at least two of SLAM, motion planning, perception, manipulation, sensor calibration.
Experience with ROS2 and embedded compute platforms.
Shipped software on real hardware outside a lab.
Comfort owning problems across the stack, from driver-level issues to high-level behavior.

Responsibilities

Develop and harden core autonomy: 3D SLAM and navigation, localization, dynamic obstacle handling, and multi-floor traversal.
Bring up new robot platforms: sensor integration, calibration, firmware interfaces, and SDK integration across vendors.
Build shared fleet capabilities such as common memory and map sharing so that mapping one robot means mapping the fleet.
Work on real-time performance: perception latency, compute budgeting on embedded platforms (NVIDIA Jetson and Thor), and sensor pipelines.
Support deployments by making the software robust to the messiness of real environments: slopes, crowds, poor lighting, and unreliable networks.